code: def poisson_nll_loss(
      input: torch.Tensor,
      target: torch.Tensor,
      *,
      log_input: bool = True,
      full: bool = False,
      eps: float = 1e-8,
      reduction: str = "mean",
  ) -> torch.Tensor:
      return torch.nn.functional.poisson_nll_loss(
          input,
          target,
          log_input=log_input,
          full=full,
          eps=eps,
          reduction=reduction,
      )
  
file_path: ivy/ivy/functional/backends/torch/experimental/losses.py
imports: from typing import Optional
  import torch
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_device_and_dtypes, with_supported_dtypes
  from .None import backend_version
label_desc: Use image node_id 6 for calling a global function with example usage: poisson_nll_loss(input, target) and returns: torch